Conditional logistic regression analysis: Predicted morbidity and mortality by the CD4+ and CD8+ T cell counts and the CD4/CD8 ratio in the Madrid cohort and SOCA cohort mortality nested studies.

*N = 47.Because of colinearity, we fitted one model to calculate the coefficients of CD4+ and CD8+ T cells, and a different model for the CD4/CD8 ratio.Variables CD4+ and CD8+ T cells, and the CD4/CD8 ratio were log transformed.Coefficients are adjusted by age, gender, nadir CD4+ T cell count and duration of viral suppression.To interpret the logarithmically transformed coefficients, we applied the following formula: Beta*log(1.10), resulting in the % of change in the odds of the outcome predicted by each 10% increase in the independent variable.

样本量N=47。由于存在共线性（colinearity），我们拟合了一个模型以计算CD4+ T细胞（CD4+ T cell）与CD8+ T细胞（CD8+ T cell）的系数，并针对CD4/CD8比值（CD4/CD8 ratio）单独拟合了另一模型。对CD4+ T细胞、CD8+ T细胞及CD4/CD8比值三个变量进行了对数变换。所有系数均通过年龄、性别、最低CD4+ T细胞计数（nadir CD4+ T cell count）以及病毒抑制持续时间进行了校正。为解读经对数变换后的系数，我们采用如下公式：Beta×ln(1.10)，从而得到自变量每增加10%时，结局发生比的变化百分比。